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AWRL6432BOOST: mmWave Demo Visualizer for AWRL6432BOOST

Aakash Deshmane
Prodigy 10 points
Part Number: AWRL6432BOOST

Hello,

I want to use the mmwave demo visualizer for my AWRL6432BOOST. Once I plug in my device and set up the serial ports in the demo visualizer, I see that it connects to 1 out of 2 targets and runs indefinitely. I also dont see the plots in the "Plot" tab. I have configured for flashing and functional mode too. Is there something which I'm missing out on?

Warm Regards,

Aakash

  • 0
    TI__Mastermind 20941 points

    Hi Aakash,

    The mmWave Demo Visualizer is not currently compatible with the xWRL6432BOOST. Please follow the steps detailed in the Out of Box Demo User Guide, under the section labelled Quickstart for xWRL64xx, to run the demo using the visualizer for this device. 

    Best Regards,

    Josh

  • 0 in reply to Josh Dye
    Prodigy 10 points

    Thank you for your reply! I want to get the point cloud data from the radar on a Linux machine. What is the best way to do it?

  • 0 in reply to Aakash Deshmane
    TI__Mastermind 20941 points

    Hi Aakash,

    If you are looking to save the output data to your PC, the visualizer/GUI for this device does not currently support this.

    I think the simplest option is to connect to a serial terminal emulator which will allow you to log the stream of UART data (e.g. PuTTY). Once you have that data saved you can run it through a script that you will need to write which parses the TLVs and saves the data in whichever format you wish. For information on the output data from the device please see section 12 of the MotionPresenceDetectionDemo_documentation.pdf located at <SDK_INSTALL>/docs/. If you are interested in seeing an example of what the parsing script would look like, you can download the SDK for our older generation of devices (mmWave SDK 3.6) which contains a parsing script at <SDK_INSTALL>/packages/ti/demo/parser_scripts/. Keep in mind these scripts will not work as is due to differences in the TLVs from previous generation devices to this device but it should at least give you the general idea of how it is done. 

    Alternatively, in the next release of our Radar Toolbox. The python based mmWave Industrial Visualizer will have support for this device. The visualizer will already have the capability of connecting to the device and parsing the data live. The source code for this will be provided as well. You would be able to take that and modify it to simply save the data you are interested once it has been parsed (in txt, csv etc...).

    Best Regards,

    Josh